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šŸš€ New: Import from Cloud Object Storage

We’re excited to announce that Neo4j Aura now supports importing data directly from
AWS S3
,
Google Cloud Storage
, and
Azure Blob & Data Lake Storage
!
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With this release, you can ingest data stored in object storage into your graph, using CSV or Parquet files as input. You can map one or more files—using glob patterns if needed—into temporary tables, enabling flexible transformations and modeling. These tables support the same intuitive mapping experience available for RDBMS and Cloud Data Warehouse sources, so you can stay productive no matter where your data lives.
CleanShot 2025-08-01 at 15
Whether you're loading product catalogs, user activity logs, or complex relationship data, it’s now easier than ever to bring that data into Neo4j using our visual import tools.
  • šŸ“ Supported file types:
    .csv
    ,
    .parquet
  • 🧩 Supports multiple files with matching schema
  • šŸ› ļø Familiar modeling and mapping workflow
  • 🌐 Works across AWS, GCP, and Azure
šŸ’¬
Have feedback or ideas?
We’d love to hear from you! Visit feedback.neo4j.com to share your thoughts and help shape future improvements.